| UAS-based plant phenotyping for research and breeding applications W Guo, ME Carroll, A Singh, TL Swetnam, N Merchant, S Sarkar, ... Plant Phenomics, 2021 | 119 | 2021 |
| Deep multiview image fusion for soybean yield estimation in breeding applications LG Riera, ME Carroll, Z Zhang, JM Shook, S Ghosal, T Gao, A Singh, ... Plant Phenomics, 2021 | 54 | 2021 |
| Unoccupied aerial systems imagery for phenotyping in cotton, maize, soybean, and wheat breeding AW Herr, A Adak, ME Carroll, D Elango, S Kar, C Li, SE Jones, AH Carter, ... Crop Science 63 (4), 1722-1749, 2023 | 42 | 2023 |
| High-Throughput Phenotyping in Soybean AK Singh, A Singh, S Sarkar, B Ganapathysubramanian, W Schapaugh, ... High-Throughput Crop Phenotyping, 129-163, 2021 | 38 | 2021 |
| “Canopy fingerprints” for characterizing three-dimensional point cloud data of soybean canopies TJ Young, TZ Jubery, CN Carley, M Carroll, S Sarkar, AK Singh, A Singh, ... Frontiers in Plant Science 14, 1141153, 2023 | 12 | 2023 |
| Self‐supervised learning improves classification of agriculturally important insect pests in plants S Kar, K Nagasubramanian, D Elango, ME Carroll, CA Abel, A Nair, ... The Plant Phenome Journal 6 (1), e20079, 2023 | 7 | 2023 |
| Smart connected farms and networked farmers to improve crop production, sustainability and profitability AK Singh, BJ Balabaygloo, B Bekee, SW Blair, S Fey, F Fotouhi, A Gupta, ... Frontiers in Agronomy 6, 1410829, 2024 | 5 | 2024 |
| A Comprehensive Study on Soybean Yield Prediction Using Soil and Hyperspectral Reflectance Data S Chattopadhyay, A Gupta, M Carroll, J Raigne, ... Preprints, 2023 | 4 | 2023 |
| Leveraging Soil Mapping and Machine Learning to Improve Spatial Adjustments in Plant Breeding Trials ME Carroll, LG Riera, BA Miller, PM Dixon, B Ganapathysubramanian, ... Crop Science, 1-18, 2024 | 2 | 2024 |
| Data driven ensemble learning for soybean yield prediction S Chattopadhyay, ME Carroll, B Ganapathysubramanian, AK Singh, ... 2nd AAAI Workshop on AI for Agriculture and Food Systems, 2023 | 2 | 2023 |
| Smart Connected Farms and Networked Farmers to Tackle Climate Challenges Impacting Agricultural Production BJ Balabaygloo, B Bekee, SW Blair, S Fey, F Fotouhi, A Gupta, K Menke, ... arXiv preprint arXiv:2312.12338, 2023 | 1 | 2023 |
| Persistent Monitoring of Insect-Pests on Sticky Traps through Hierarchical Transfer Learning and Slicing-Aided Hyper Inference F Fotouhi, K Menke, A Prestholt, A Gupta, M Carroll, HJ Yang, ... Frontiers in Plant Science 15, 1484587, 0 | 1 | |
| AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning M Khosravi, M Carroll, KL Tan, L Van der Laan, J Raigne, DS Mueller, ... arXiv preprint arXiv:2409.00735, 2024 | | 2024 |
| frontiers Research Topics January 2024 J Li, Y Li, J Qiao, L Li, X Wang, J Yao, G Liao, A Das, SD Choudhury, ... Machine Vision and Machine Learning for Plant Phenotyping and Precision …, 2024 | | 2024 |
| Impact of a Multi-Year Cover Crop System on Soybean and Corn Yields and Soil Health A Martin, M Carroll ASA, CSSA, SSSA International Annual Meeting, 2023 | | 2023 |
| Development of digital phenotyping methods for breeding applications in stress phenotyping, spatial adjustments, and end season yield prediction ME Carroll Iowa State University, 2023 | | 2023 |
Asheesh K. SinghProfessor, Iowa State UniversityPotvrđena adresa e-pošte na iastate.edu
